No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by thedotmack · Claude Skill · ★ 94.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-mem safe to install? View the security audit →
Official $CMEM Links: Bags.fm • Jupiter • Photon • DEXScreener Official CA: 2TsmuYUrsctE57VLckZBYEEzdokUF8j8e1GavekWBAGS (on Solana) 🇨🇳 中文 • 🇹🇼 繁體中文 • 🇯🇵 日本語 • 🇵🇹 Português • 🇧🇷 Português • 🇰🇷 한국어 •
| Stars | 94,471 |
| Forks | 8,351 |
| Language | TypeScript |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 73.4943682895971/100 |
| Open Issues | 286 |
| Last Updated | 2026-09-22 |
| Created | 2025-08-31 |
| Platforms | claude-code, codex, gemini, node |
| Est. Tokens | ~17k |
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claude-mem is Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Cla. It is categorized as a Claude Skill with 94.5k GitHub stars.
claude-mem is primarily written in TypeScript. It covers topics such as ai, ai-agents, ai-memory.
You can find installation instructions and usage details in the claude-mem GitHub repository at github.com/thedotmack/claude-mem. The project has 94.5k stars and 8351 forks, indicating an active community.
claude-mem is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to claude-mem on Agent Skills Hub include agents, ai-guide, headroom. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: